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A caching library for Python

Project description

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A caching library for Python.

Features

  • In-memory caching using dictionary backend

  • Maximum cache size enforcement

  • Cache-level default TTL (time-to-live) as well as custom TTLs on a per cache entry basis

  • Reconfigurable cache settings for runtime setup when using module-level cache objects

  • Bulk set, get, and delete operations

  • Thread-safe

Roadmap

  • Additional cache replacement policies:

    • LRU (Least Recently Used)

    • MRU (Most Recently Used)

    • LFU (Least Frequently Used)

    • LIFO (Last In, First Out)

    • RR (Random Replacement)

  • Memoization decorator

  • Layered caching (multi-level caching)

  • Cache handler (multi-cache access layer)

  • Cache event listener support (e.g. on-get, on-set, on-delete)

  • Regular expression support in cache get

  • Set-on-missing callback support in cache get

  • Cache statistics (e.g. cache hits/misses, cache frequency, etc)

Requirements

  • Python >= 3.4

Quickstart

Install using pip:

pip install cacheout

Let’s start with some basic caching by creating a cache object:

from cacheout import Cache

cache = Cache()

By default the cache object will have a maximum size of 300 and TTL expiration turned off. These values can be set with:

cache = Cache(maxsize=300, ttl=0, timer=time.time)  # defaults

Set a cache key using cache.set():

cache.set(1, 'foobar')

Get the value of a cache key with cache.get():

assert cache.get(1) == 'foobar'

Set the TTL (time-to-live) expiration when caching:

cache.set(3, {'data': {}}, ttl=1)
assert cache.get(3) == {'data': {}}
time.sleep(1)
assert cache.get(3) is None

Get a copy of the entire cache with cache.copy():

assert cache.copy() == {1: 'foobar', 2: ('foo', 'bar', 'baz')}

Delete a cache key with cache.delete():

cache.delete(1)
assert cache.get(1) is None

Clear the entire cache with cache.clear():

cache.clear()
assert len(cache) == 0

Perform bulk operations with cache.set_many(), cache.get_many(), and cache.delete_many():

cache.set_many({'a': 1, 'b': 2, 'c': 3})
assert cache.get_many(['a', 'b', 'c']) == {'a': 1, 'b': 2, 'c': 3}
cache.delete_many(['a', 'b', 'c'])
assert cache.count() == 0

Reconfigure the cache object after creation with cache.setup():

cache.setup(maxsize=1000, ttl=5 * 60)

Get keys, values, and items from the cache with cache.keys(), cache.values(), and cache.items():

cache.set_many({'a': 1, 'b': 2, 'c': 3})
assert list(cache.keys()) == ['a', 'b', 'c']
assert list(cache.values()) == [1, 2, 3]
assert list(cache.items()) == [('a', 1), ('b', 2), ('c', 3)]

Iterate over cache keys:

for key in cache:
    print(key, cache.get(key))
    # 'a' 1
    # 'b' 2
    # 'c' 3

Check if key exists with cache.has() and key in cache:

assert cache.has('a')
assert 'a' in cache

For more details, see the full documentation at https://cacheout.readthedocs.io.

Changelog

v0.1.0 (2018-01-28)

  • Add Cache class.

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